Media contextual information for a displayed resource

ABSTRACT

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing contextual information for presented media. In one aspect, a method includes storing in a buffer, on a first user device, media data as buffered media data, the buffered media data being a most recent portion of media data received at the first user device, the most recent portion inclusive of the media data received from a present time to a prior time that is fixed relative to the present time; responsive to a search operation invocation at the present time, sending the buffered media data to a search processing system that is remote from the first user device; and receiving, from the search processing system and in response to the buffered media data, contextual information regarding an entity that the data processing system identified from processing the buffered media data.

BACKGROUND

User devices now provide access to a wide variety of information. Forexample, digital image files, video and/or audio files, as well asresources for particular subjects or particular news articles, areaccessible over the Internet. This information may be viewed in webbrowsers running on a user device and native applications running on auser device. Search engines crawl and index these resources tofacilitate searching of the resources. Thus, for just about any subjectin which a user may be interested, there is a large amount ofinformation that is readily available to the user.

Many user devices are now also being used to consume streaming content,such as “on demand” video. For example, many users now watch televisionprograms and other videos primarily by use of mobile devices or laptopcomputer and tablets. Additionally, many televisions that are nowavailable have “smart” capabilities that enable the televisions to beused as web browsers and to run native applications that present contentfrom particular content providers.

A user may desire information related to content that a user is viewingon a user device. Such information in this application is referred to as“contextual information,” as the information desired by the user is inthe context of the active web page or media. Some user devices canprovide an image of content that is displayed in an active window of auser device. A search system processes the image to identify entitiesand concepts and performs a search for those entities and concepts, andthen provides one or more search results to the user device.

SUMMARY

This specification describes technologies relating to media contextualinformation responsive to a portion of buffered media that encompassesat least a buffered time period.

In general, one innovative aspect of the subject matter described inthis specification can be embodied in methods that include the actionsof storing in a buffer, on a first user device, media data as bufferedmedia data, the buffered media data being a most recent portion of mediadata received at the first user device, the most recent portioninclusive of the media data received from a present time to a prior timethat is fixed relative to the present time; responsive to a searchoperation invocation at the present time, sending the buffered mediadata to a search processing system that is remote from the first userdevice; and receiving, from the search processing system and in responseto the buffered media data, contextual information regarding an entitythat the data processing system identified from processing the bufferedmedia data. Other embodiments of this aspect include correspondingsystems, apparatus, and computer programs, configured to perform theactions of the methods, encoded on computer storage devices.

Particular embodiments of the subject matter described in thisspecification can be implemented so as to realize one or more of thefollowing advantages. Contextual information about media consumed by auser on a user device can be determined from buffered media data andpresented to the user. This enables a user to receive additionalinformation about the consumed media.

In some implementations, the contextual information provided using thebuffered media data can be query-independent, which eliminates a user'sneed to seek information using a search query that expresses the user'sspecific informational need. Instead, the user's informational need isexpressed by the content of the buffered media data. Accordingly, whenconsidered in the aggregate, thousands of erroneous and inaccuratequeries are avoided, which, in turn, provides a more efficient use ofsearch system resources. In other words, multiple erroneous queryprocessing cycles are avoided, which reduces processing resourcesrequired and reduces overall system bandwidth requirements (or,alternatively, enables a larger number of users to be serviced without acommensurate increase in processing resources). This improvement in thetechnological field of search processing is thus another distinctadvantage realized by the systems and methods described below.

In other implementations, the contextual information from buffered mediadata can be augmented with a user's search query, e.g., by a voicecommand such as “Show me what other movies he was in.” This results moreefficient use of server-side query resources (e.g., querying processingand bandwidth) because the search system can use the contextual contentof the buffered media data to refine the search query. This alsoimproves the technological field of search processing and informationprovided to the user, and is thus another distinct advantage realized bythe systems and methods described below.

In still other implementations, when the buffered content is videocontent, the buffered content may be a series of individual frames thateach requires a threshold change in content from a prior video frame.Such buffering results in a smaller set of video data that istransmitted than if the buffering stored every frame of video. Moreover,by requiring each video frame that is buffered to have the thresholdchange in content from a prior video frame, the information loss due tonot storing each video frame is reduced. This also improves thetechnological field of search processing and information provided to theuser, as the buffered data that is sent is relative compact, whichconserves bandwidth, but does not suffer from a concomitant informationloss, which reduces the impact on information gain from the data.

The details of one or more embodiments of the subject matter describedin this specification are set forth in the accompanying drawings and thedescription below. Other features, aspects, and advantages of thesubject matter will become apparent from the description, the drawings,and the claims.

FIG. 1A and FIG. 1B are block diagrams of example environments in whichcontextual information about buffered media is provided.

FIG. 2 is a flow diagram of an example process for providing bufferedmedia data to receive contextual information.

FIG. 3 is a block diagram of an example search processing system thatprocesses a buffered media data request.

FIG. 4 is a flow diagram of an example process for providing contextualinformation based on buffered media data.

Like reference numbers and designations in the various drawings indicatelike elements.

DETAILED DESCRIPTION

Overview

A user may desire information related to content that a user is viewingon a user device. Such information in this application is referred to as“contextual information,” as the information desired by the user is inthe context of the active web page or media. Some user devices canprovide an image of content that is displayed in an active window of auser device. A search system processes the image to identify entitiesand concepts and performs a search for those entities and concepts, andthen provides one or more search results to the user device. However, amost recent frame of video does not always accurately express the user'sinformational need. For example, a user may be watching a basketballgame, and desire information about a particular player shooting a freethrow. If the user invokes a search just after the video switches toanother view, e.g., multiple players attempting to catch a rebound fromthe missed shot, the image may not accurately depict the interest of theuser, i.e., the player that is shooting the free throw. Moreover, foraudio data, such as a song, a screen shot or image of an active windowis even less likely to accurately convey the user's informational need.

A user device implementing the systems and methods described belowenables determining contextual information from buffered media data forcontent consumed at a user device. The buffered media data is stored ina buffer on the user device. Typically, this buffered media dataincludes media for a predefined amount of time for the most recentlyconsumed content at the user device. This predefined amount of time isalso referred to as a “buffered time period.” The buffered time periodis inclusive of a time period that provides for multiple frames of videoand/or multiple audio samples for audio data. For example, the bufferedmedia data may include the last 5-10 seconds of previously consumedmedia.

In some implementations, the buffered media data can be for media dataconsumed from two or more active applications running on a user device.The media data for each of the multiple applications is stored in abuffer as separate respective instances of buffered media data. When asearch operation is invoked that requires the buffered media, in someimplementations, the application for which the user device has a primaryfocus is determined, and the only the buffered media data for theexecuting application for which the user device has a primary focus isselected and sent to the search processing system.

Responsive to a search operation invocation at a present time, the userdevice sends the buffered media data to a search processing system. Theinvocation of the search operation can be the result from differenttypes of user interaction models. One interaction model requires anon-textual user input, such as the prolonged pressing of an inputbutton. Another interaction model requires a textual user input, such asthe typing in or speaking of a query. Search operation invocation isdescribed in more detail below.

Contextual information regarding an entity or entities that the dataprocessing system identified from processing the buffered media data isthen provided to the user device in response. The data may be providedin a variety of ways, and the way the results or results are presentedmay depend on the query. For example, if the query issues aninformational query, e.g., “Tell me about that player shooting the freethrow,” then the data may be a list of search results. Conversely, ifthe query has a dominant intent, e.g., a query about a particularcharacteristic of a particular person, e.g., “Show me the shooter's freethrow percentage and other stats for the season,” then the results maybe presented as a single response, or in the form of a contextual card.

In some implementations, the user can consume media on one device andreceive contextual information on a second device that is different fromthe first. For example, a user may consume media on a television andreceive the contextual information on a mobile device (e.g., tablet,mobile phone, etc.).

These features and additional features are described in more detailbelow.

Example Operation Environments

FIGS. 1A and 1B are block diagrams of example environments in whichcontextual information about buffered media is provided. FIG. 1A depictsrequesting contextual information and receiving a contextual informationcard during presentation of media, and FIG. 1B depicts presenting mediaon a first user device and presenting the contextual information card ona second different user device.

With reference to FIG. 1A, a user device 110 is used to obtaincontextual information for media consumed at the user device 110. Theuser device 110 is an electronic device that is capable of requestingand receiving resources over a network. Example user devices 110 includemobile communication devices (e.g., smart phones, tablets, laptopcomputers, etc.), and other computing or computer devices (e.g.,televisions, desktops, etc.) that can send and receive data over anetwork, such as the Internet.

The user device 110 can display information, such as web resources.These may include HTML pages, electronic documents, images files, videofiles, audio files, text message conversations, e-mails, graphical userinterfaces of applications, etc. In addition, as depicted in FIG. 1A,the user device 110 can present media 114 using an application 112.Media 114 is images, video, audio, text, or some combination of the likethat a user consumes using an application running on a user device 110.For example, the media 114 may be a professional basketball gamepresented at the user device using an application 112 from a sportsbroadcasting provider.

The application 112 can include native applications and/or browser-basedapplications. As used herein, a native application generates environmentinstances for display on a user device within an environment of thenative application, and operates independent of a browser application onthe user device. A native application is an application specificallydesigned to run on a particular user device operating system and machinefirmware. Native applications thus differ from browser-basedapplications and browser-rendered resources. The latter require all, orat least some, elements or instructions downloaded from a web servereach time they are instantiated or rendered. Furthermore, browser-basedapplications and browser-rendered resources can be processed by all webcapable user devices within the browser and thus are not operatingsystem specific.

The user device 110, by use of a buffering process 101, stores bufferedmedia data 121 in a buffer 120. The buffered media data 121 is visuallydepicted as a most recent frame of video of multiple video frames storedin the buffer 120. The buffered media data 121 is a most recent portionof streaming media data received at the first user device. The mostrecent portion inclusive of the streaming media data received from apresent time to a prior time that is fixed relative to the present timeand includes multiple frames of video or multiple samples of audio data.For example, the buffered media data 121 may include the last 5, 10, 15,or 20 seconds of previously consumed media.

In FIG. 1A, the user device 110 is presenting media 114, and the userhas invoked a search operation and sent a buffered media request 118 tothe search processing system 122. A search operation can be invoked anumber of different ways, and will be described in more detail below.The search processing system 122 process the buffered media data 121that is sent with the buffered media request 118, and providescontextual information 124 in response. In the example shown in FIG. 1A,the contextual information is provided in the form of a contextual card124 user interface element. However, other user interface elements maybe used, for example, chat bubbles, selectable linked notes orfootnotes, etc. The contextual information card 124 may includecontextual information about the media 114 presented by the application112, such as images, text, audio, and video, and one or more commands126.

The commands 126 can include a search command that may invoke a separatesearch in a search user interface, a reviews command that may retrievereviews of the media, and a share command, which may generate a screenshot of the application 112 and a URI of the environment instance andsend the screen shot and the URI to another user device.

In addition, the commands 126 can include a questions command that mayprovide additional questions a user can ask about the contextualinformation or the topicality of the contextual information. When a userinteracts with one of the additional questions, the user device 110invokes a separate search query or request seeking results or answersfor the additional question. The user device 110 will receive the answerto the separate search query, as either an additional contextual card, adifferent user interface, etc.

The contextual card 124 is but one example of how contextual informationmay be provided. Other ways of providing contextual information includesearch results that link to resources, an answer if the buffered mediarequest 118, along with query terms input by the user, is interpreted asa question, and the like.

FIG. 1A shows the contextual information being presented on the userdevice 110. However, contextual information can be presented on a devicethat is separate from a device that is displaying the media data. Forexample, FIG. 1B is a figure that depicts presenting media on a firstuser device 160-A and presenting the contextual information on a seconddifferent user device 160-B. In this example, the user device 160-B isexecuting an application that controls the displaying of media on theuser device 160-A. For example, the application may be a TV applicationthat allows the user, by use of the user device 160-B, to select contentand change channels for the user device 160-A. The user device 160-B mayalso execute a buffering process 101 as described with reference to FIG.1A. Alternative, the user device 106-A may execute the buffering processand store the buffered media data, as indicated by the phantom process101 on the user device 160-A.

The user device 160-B, which may be, for example, a mobile device ortablet computer, may be used to invoke a search operation in the samemanner as described with reference to FIG. 1A, and as will be describedin more detail below. Again, the buffered media request 118 is sent tothe search processing system 122 (either from the user device 160-B, ifthe user device 160-B is storing the buffered media data, or from thedevice 160-A, if the device 160-A is storing the buffered media data).The search processing system 122 receives the buffered media request 118and data indicating results are to be sent to the user device 160-B. Thesearch processing system 122 then provides the contextual information tothe user device 160-B.

In an alternative implementation, the search operation may be invoked byuse of the user device 160-B, but the contextual information may bedisplayed on the user device 160-A. For example, if multiple persons arewatching a sports program, the user device 160-B may be used to invoke abuffered media request by one of the persons and the results may bedisplayed on the device 160-A for all persons to see.

Buffered Media Data

As described above, the buffered media data is a most recent portion ofstreaming media data received at the first user device. The most recentportion of the media data is inclusive of the media data received from apresent time to a prior time that is fixed relative to the present time.For example, if the prior time is 20 seconds, then the buffered mediadata is for the last 5 seconds of presented media. In someimplementations, more the buffered media data may be for a longer periodof time than what is sent in a buffered media request. For example, thebuffered media data may store data for up to 30 seconds, but only sendbuffered media data that corresponds to only the last five seconds ofdata. Should the user indicate dissatisfaction with the contextualinformation provided, then the user device may send additional bufferedmedia data in a next request, e.g., for the last 20 seconds.

The user device 110 can buffer media data 121 from multiple activeapplications. An active application is an application running on theuser device 110 that a user is engaging with. For example, if a user islistening to music using a media application and viewing a video weatherreport using a weather application or using a web browser, the userdevice receives buffered media data 121 from the media application 112and the weather application/web browser. In addition, the media data foreach of the multiple applications is stored in a buffer as separaterespective instances of buffered media data. When a search operation isinvoked that requires the buffered media, in some implementations, theapplication for which the user device has a primary focus is determined,and only the buffered media data for the executing application for whichthe user device has a primary focus is selected and sent to the searchprocessing system.

In some implementations, the primary focus is determined by an activewindow. For example, if a user is watching the weather video and theaudio player window is in the background while presenting a song, theapplication showing the weather video is determined to have the primaryfocus. Alternatively, if the user utters a query, the primary focus maybe determined, in part, by the query terms. For example, assume the useris watching the weather video and the audio player window is in thebackground. The user utters the query “Assistant, who is the leadsinger?” Using semantic rules, the user device will determine that thedominant intent of the verbal input to media being presented. In thisexample, the dominant intent based on the query terms “lead singer,”relates higher to the song than to the weather video, and thus thesystem will select buffered media data of the song for processing.

In some implementations, the user device 110 samples a media frame fromthe received media data according to an interval number of video frames.This is done to conserve space when buffering video media data. Forexample, the user device may only sample every nth frame of the mediadata, where N can include any number, for example, every second frame,fifth frame, tenth frame, etc. The user device 110 stores each sampledmedia frame in the buffer. The user device 110 stores samples mediaframes to reduce the amount of buffered media data 121 stored in thebuffer for each active application. This enables the buffer to capturethe same amount of media using less data.

In some implementations, the user device 110 stores media frames basedon a threshold change of content between adjacent media frames. The userdevice 110 determines, for each media frame, whether the media frame hasa threshold change in content from a previously received media frame.The threshold change in content can be based on a totality of change inthe content presented in the adjacent frames, a change in the dominatecontent presented in the adjacent frames, or a combination thereof. Anyappropriate image processing technique can be used to determine ameasure of change between video frames. The threshold change in contentcan be based on similarity scores of content presented in the mediaframe. A similarity score indicates how similar the content in aparticular frame is to the content in a prior frame. Edge detection,scale invariant transform processing, and color distribution are exampleprocessing techniques that can be performed on each frame and theresults compared to determine the similarity of content between theframes. For example, and continuing with the basketball example, if afirst frame presented and stored includes the particular player shootinga free-throw shot and the next frame presented is a frame that includessports announcers, the user device will detect, by use of the imageprocessing techniques, a threshold change of content from the particularplayer to the sports announcers. In this instance, the user device 110stores the sports announcer frame, because a threshold change in contentoccurred.

In some implementations, the buffer erases the buffer media data, eachtime the buffered media data is sent to the search processing system122. In other implementations, the user device sends a portion of thebuffered media data stored in the buffer, but does not erase the portionof buffered media data that is sent to search processing system 122. Inother implementations, the buffer stores a predefined amount of time anderases buffered media data according to a first in first out datastorage scheme.

Search Operation Invocation

Responsive to a search operation invocation at a present time, the userdevice sends the buffered media data to a search processing system. Theinvocation of the search operation can be the result from differenttypes of user interaction models. One interaction model requires anon-textual user input, such as the prolonged pressing of an inputbutton. When such an action is detected, the user device generates aquery-independent search request that sends the buffered media data tothe search system for processing. The request is “query-independent” therequest does not include a query that includes terms that were directlyinput by the user.

When the user device 110 invokes a search operation without verbal ortextual input from the user, the user device 110 sends the bufferedmedia request 118 to the search processing system 122 as aquery-independent request. The query-independent request 118 includesthe buffered media data 121 and does not include query terms input bythe user. However, the buffered media request 118 may include other dataeven if it is query independent, such as a URI for the source of thebuffered media, the application presenting the media data, and the like.

One way to invoke a search operation without verbal or textual inputfrom the user is by a prolonged pressing of an input button. Forexample, the user device 110 may be presenting some media 114 in anapplication 112. The media 114 includes, for example, some video thatmay include graphics 115 and text 116. The user may generate anindication for contextual information, e.g., by pressing a button 111,e.g., a “home” button, for three seconds (i.e., long press) or tappingthe screen according to a predefined tap pattern, etc. In response, theuser device sends a buffered media request 118 as a query-dependentrequest to the search processing system 122. In addition, the bufferedmedia 121, the request may also include information about the mediaapplication, the URI of the source of the received media, and otherinformation that are not query terms input by the user.

Other ways of generating a query-independent request can also be used.For example, in some implementations, the user device 110 can providebuffered media data to the search process system 122 periodically. Theuser device 110, pursuant to a user selection to send the buffered mediadata periodically, may send a query-independent request to the searchprocessing system 122 every N seconds, e.g., where N is every 10, 20 or30 seconds. For each iteration, the search processing system 122determines contextual information for the particular portion of receivedbuffered media data 121 and sends the determined contextual informationto the user device 110. Thus, the user device 110 receives contextualinformation about the buffered media data stored in the bufferiteratively and according to a set period of time. Periodic updates ofinformation may be useful when watching sporting events, for example. Insuch operation, a user may be provided with updated statistics that arerelevant to what has been previously displayed. For example, during abasketball game, when a player is shooting a free throw, statisticsspecific to the player may be presented. However, when the video depictsall the players of both teams, then statics regarding each team and thegame history between the teams may be presented.

In another implementation, the user device sends a query-independentrequest to the search processing system 122 based on a threshold changein content presented in the media. The threshold change can be done inthe same manner as described above. Once a threshold change in contentis detected, the user device generates a query-independent request forcontextual information and sends the request to the search processingsystem 122.

Another interaction model is a user input that includes search terms andthat includes a signal to include the buffered media data, either bytyping in a query or speaking a query using an assistant process orvoice recognition process. Such a signal may also require that the querybe ambiguous, or the query specify the media data. For example, assume aquery uttered to an assistant and is ambiguous, e.g., “What is his freethrow percentage for the season?” The user device, using a semanticmodel, will determine the pronoun “his” does not include an antecedent,and thus will include the buffered media data with the query.Alternatively, where the query uttered to the assistant refers to thebuffered media, e.g., “Tell me more about the lead singer of the songI'm listening to”, the user device will determine that the noun “song”and the verb “listening” in the phrase means the query refers to thesong currently being presented by the user device, and may send thequery and the buffered media to the search system.

Conversely, when the query is well formed and not ambiguous, e.g., “Whatis today's weather forecast?”, then the assistant process will notprovide the buffered media with the query. This is because a well formedquery that is not ambiguous and that is not determined to refer to thebuffered media is interpreted by the user device, by use of semanticprocessing, as complete expression of the user's informational need.

Example User Device Process Flow

FIG. 2 is a flow diagram of an example process 200 for providingbuffered media data to receive contextual information. The process 200is implemented in a user device. The buffered media data is a mostrecent portion of streaming media data presented at the user device, andis inclusive of the media data presented from a present time to a priortime that is fixed relative to the present time.

The user device stores buffered media data in a buffer (210) Forexample, the user device may be executing a buffering process 101 thatbuffers media data, such as streaming audio and video media, or audioand video media that is being played from a stored recording on the userdevice, in a memory buffer on the user device.

The user device, responsive to search operation invocation, sends thebuffered media data to a search processing system (220). The dataprocessing system is distinct from the first user device 160-A and thesecond user device 160-B. In some implementations, the data processingsystem 122 determines contextual information of the buffered media data121. The search operation invocations may be done as described above,e.g., by a long press of a button; by an assistant process receiving avoice input; by a user inputting a text query; or by a periodic processthat automatically sends the buffered media data to the searchprocessing system. The buffered media data may be sent asquery-independent request, or with a query, as described above.

The user device (or another user device separate from the sending userdevice) receives contextual information responsive to the buffered mediadata (230). The contextual information may be in the form of searchresults, a contextual card, an answer, or any other form that the searchsystem determines is appropriate for the buffered media data request.The user device may then display the information to one or more users.

Search Processing System

An example search processing system is shown in FIG. 3 , and FIG. 4describes an example process for providing contextual information inresponse to a buffered media data request. The data processing system122 includes an entity identification engine 320, a ranking engine 330,a search engine 340, and a search engine front end 350. The searchprocessing system 122 can process the buffered media data in a varietyof ways. For example, video media can be processed for audiorecognition, object recognition, person recognition and characterrecognition. Based on the results, the search system can form a query tosearch one or more corpora. Additionally, if a query is received withthe buffered media request, then the query can be augmented with theresults. Similarly, with audio data, voice and speech recognition can beused, as well as audio track matching, to identify songs, speeches andother relevant information to which the audio data pertains. The searchengine, based on the audio processing results, can form a query tosearch one or more corpora.

One example search processing system 122 is described with reference toFIG. 3 . The process 400 of FIG. 4 can be implemented in the searchprocessing system, and operation of the search processing system isdescribed with reference to FIG. 4 .

The search processing system 122 receives the buffered media data (410).For example, the search processing system 122 receives the bufferedmedia data request 118 to provide contextual information responsive tothe buffered media request.

The entity identification engine 320 performs content detection on thebuffered media data to identify entities (420). An entity may be one ormore topical items of content within the media. For example, the text,sound, graphics and video may relate to particular persons, places,things or concepts. For example, in the frame with the particularbasketball player shooting a free throw, the entities can include theparticular player, the game of basketball, the player's team, theopposing team, the National Basketball Association, and the like.

The entity identification engine 320 processes the audio portions andvideo portions (if any) of the buffered media. In some implementations,the image portions are a frame of a video image. For video in thebuffered media data, the entity identification engine 320 maintains thepositional integrity of the sound and the accompanying frames of thevideo technology. Thus, a mapping of sound to video frame is created foranalyzing the media.

The entity identification engine 320 uses optical character recognition(OCR) to identify entities within the image portions of the bufferedmedia data. A variety of OCR algorithms can be used to identify theentities. The OCR algorithms derive text and graphics from the bufferedmedia data. The entity identification engine 320 analyzes each frame todetermine which entities are present in each frame. The OCR algorithmsuse the derived text and object recognition to give each entity a label.The label is a naming convention for the entity.

In addition, the entity identification engine 320 can, in someimplementations, determine the position of each entity relative to otherentities included in the frame, and the amount of the display that eachentity occupies. For example, assume a presented frame includes a torsoand head shot of particular player shooting a free-throw shot and alsoincludes a shot of another player standing behind the particular player.Also assume the head and torso of the particular player take up 50% ofthe display area, and the image of the other player takes up 10% of thedisplay area. The entity identification engine 320 can generateproportionality scores for the particular player and the other player,which are dependent on the amount of display area an object occupies.Here, the proportionality score will be higher for the particular playerthan for the other player. This score can be used by the ranking engine330 to rank the entities.

In addition, the entity identification engine 320 can, in someimplementations, determine the time of each entity relative to otherentities included in the buffered media data and/or the amount ofoverall time that each entity is displayed. For example, for a fivesecond portion of buffered video, assume that from seconds five to four(measured in the past from the present time), sports announcers areshown; then from seconds four to the present time, the particularbasketball player is shown. The particular basketball is displayedclosest in time to the present time, and occupies 80% of the bufferedmedia time, while the sports announcers are most distant in time, andoccupy 20% of the buffered media time.

The ranking engine 330 ranks the entities identified from the bufferedmedia data (430). Any appropriate ranking process may be used. In someimplementations, the entities within content of the buffered media dataat a time closer to current time are prioritized higher than entitieswithin content of the buffered media data at a time further away fromcurrent time. Referring back the basketball game example, because theparticular basketball is displayed closest in time to the present time,and occupies 80% of the buffered media time, while the sports announcersare most distant in time, and occupy 20% of the buffered media time, theparticular basketball player will have a higher ranking than the sportsannouncers. A variety of time ranking functions may be use, e.g.,

r(e)=f(t_recency,t_duration %)

-   -   where    -   r(e) is a rank score for entity e;    -   t_receny is a time measure from the most recent time of the        buffer data that the entity was last depicted (or mentioned, for        audio data) with a minimum value of 0;    -   t_duration is a time measure of the duration of the buffered        video time that the entity is depicted in the buffered video,        with a maximum value of 100%; and    -   f( ) is a ranking function.

In some implementations, the ranking engine 330 also prioritizesentities within the frame of the media based on the determined locationsof the entities. For example, entities that are closer to the foregroundrelative to entities that are further in background receive higherpriority. For example, in a video with sports announcers in theforeground and basketball players in the background warming up, thesports announcers receive higher priority than the basketball players dobecause the sports announcers are in the foreground and the basketballplayers are in the background. In some implementations, theproportionality scores can be used to determine whether an entity is inthe foreground or background relative to other entities.

Other ways of ranking entities can also be used instead of, or inaddition to, the processes described above. For example, if query termsare provided with the buffered media data, the query terms may be usedto weigh the entities detected in the buffered media data.Alternatively, or in addition, the entities may be used to disambiguatethe query terms, as described above.

The ranking engine 330 selects an entity that is ranking highestrelative to the other entities (440). Alternatively, the top N rankedentities may be selected, where N=2 or more. In another implementation,if several entities are top ranked and have very similar ranks scores,and then there is a significant break in the ranks scores for a nextranked entity, then the several entities with the top rank may beselected. In this latter implementations, piecewise linear interpolationbeginning from the top ranked entity may be used to determine asignificant break in rank scores. The item selection engine receives theidentified entities and the ranking for each of the entities. Based onthe entities that are identified entities, the one or more highestranked entities are identified and transmitted to the search engine 340.

If a query is provided with the buffered media data, the query may beused to determine how many entities to select. For example, if the queryis “What is his free throw percentage?”, then only one entity may beselected, as the query speaks of a subject in the singular. However, ifthe query refers to a plural, e.g., “What are their names?” then two ormore entities may be selected.

The search engine 340 conducts a search on the entity or top rankedentities and provides the resulting contextual information to the userdevice (450). The search engine 340 may use the entities and, ifprovided, the query terms to conduct the search of one or more corpora.A variety of query rewriting, synonym generation, and other queryprocessing algorithms can be used. The contextual information that isprovided may be in the form of a contextual card, a series of searchresults, an answer and an interpreted question, or other forms.

Additional Implementation Details

In situations in which the systems discussed here collect personalinformation about users, or may make use of personal information, theusers may be provided with an opportunity to control whether programs orfeatures collect user information (e.g., information about a user'ssocial network, social actions or activities, profession, a user'spreferences, or a user's current location), or to control whether and/orhow to receive content from the content server that may be more relevantto the user. In addition, certain data may be treated in one or moreways before it is stored or used, so that personally identifiableinformation is removed. For example, a user's identity may be treated sothat no personally identifiable information can be determined for theuser, or a user's geographic location may be generalized where locationinformation is obtained (such as to a city, ZIP code, or state level),so that a particular location of a user cannot be determined. Thus, theuser may have control over how information is collected about the userand used by a content server.

Embodiments of the subject matter and the operations described in thisspecification can be implemented in digital electronic circuitry, or incomputer software, firmware, or hardware, including the structuresdisclosed in this specification and their structural equivalents, or incombinations of one or more of them. Embodiments of the subject matterdescribed in this specification can be implemented as one or morecomputer programs, i.e., one or more modules of computer programinstructions, encoded on computer storage medium for execution by, or tocontrol the operation of, data processing apparatus. Alternatively or inaddition, the program instructions can be encoded on anartificially-generated propagated signal, e.g., a machine-generatedelectrical, optical, or electromagnetic signal, that is generated toencode information for transmission to suitable receiver apparatus forexecution by a data processing apparatus. A computer storage medium canbe, or be included in, a computer-readable storage device, acomputer-readable storage substrate, a random or serial access memoryarray or device, or a combination of one or more of them. Moreover,while a computer storage medium is not a propagated signal, a computerstorage medium can be a source or destination of computer programinstructions encoded in an artificially-generated propagated signal. Thecomputer storage medium can also be, or be included in, one or moreseparate physical components or media (e.g., multiple CDs, disks, orother storage devices).

The operations described in this specification can be implemented asoperations performed by a data processing apparatus on data stored onone or more computer-readable storage devices or received from othersources.

The term “data processing apparatus” encompasses all kinds of apparatus,devices, and machines for processing data, including by way of example aprogrammable processor, a computer, a system on a chip, or multipleones, or combinations, of the foregoing. The apparatus can includespecial purpose logic circuitry, e.g., an FPGA (field programmable gatearray) or an ASIC (application-specific integrated circuit). Theapparatus can also include, in addition to hardware, code that createsan execution environment for the computer program in question, e.g.,code that constitutes processor firmware, a protocol stack, a databasemanagement system, an operating system, a cross-platform runtimeenvironment, a virtual machine, or a combination of one or more of them.The apparatus and execution environment can realize various differentcomputing model infrastructures, such as web services, distributedcomputing and grid computing infrastructures.

A computer program (also known as a program, software, softwareapplication, script, or code) can be written in any form of programminglanguage, including compiled or interpreted languages, declarative orprocedural languages, and it can be deployed in any form, including as astand-alone program or as a module, component, subroutine, object, orother unit suitable for use in a computing environment. A computerprogram may, but need not, correspond to a file in a file system. Aprogram can be stored in a portion of a file that holds other programsor data (e.g., one or more scripts stored in a markup languagedocument), in a single file dedicated to the program in question, or inmultiple coordinated files (e.g., files that store one or more modules,sub-programs, or portions of code). A computer program can be deployedto be executed on one computer or on multiple computers that are locatedat one site or distributed across multiple sites and interconnected by acommunication network.

The processes and logic flows described in this specification can beperformed by one or more programmable processors executing one or morecomputer programs to perform actions by operating on input data andgenerating output. The processes and logic flows can also be performedby, and apparatus can also be implemented as, special purpose logiccircuitry, e.g., an FPGA (field programmable gate array) or an ASIC(application-specific integrated circuit).

Processors suitable for the execution of a computer program include, byway of example, both general and special purpose microprocessors, andany one or more processors of any kind of digital computer. Generally, aprocessor will receive instructions and data from a read-only memory ora random access memory or both. The essential elements of a computer area processor for performing actions in accordance with instructions andone or more memory devices for storing instructions and data. Generally,a computer will also include, or be operatively coupled to receive datafrom or transfer data to, or both, one or more mass storage devices forstoring data, e.g., magnetic, magneto-optical disks, or optical disks.However, a computer need not have such devices. Moreover, a computer canbe embedded in another device, e.g., a mobile telephone, a personaldigital assistant (PDA), a mobile audio or video player, a game console,a Global Positioning System (GPS) receiver, or a portable storage device(e.g., a universal serial bus (USB) flash drive), to name just a few.Devices suitable for storing computer program instructions and datainclude all forms of non-volatile memory, media and memory devices,including by way of example semiconductor memory devices, e.g., EPROM,EEPROM, and flash memory devices; magnetic disks, e.g., internal harddisks or removable disks; magneto-optical disks; and CD-ROM and DVD-ROMdisks. The processor and the memory can be supplemented by, orincorporated in, special purpose logic circuitry.

To provide for interaction with a user, embodiments of the subjectmatter described in this specification can be implemented on a computerhaving a display device, for displaying information to the user and akeyboard and a pointing device, e.g., a mouse or a trackball, by whichthe user can provide input to the computer. Other kinds of devices canbe used to provide for interaction with a user as well; for example,feedback provided to the user can be any form of sensory feedback, e.g.,visual feedback, auditory feedback, or tactile feedback; and input fromthe user can be received in any form, including acoustic, speech, ortactile input. In addition, a computer can interact with a user bysending documents to and receiving documents from a device that is usedby the user; for example, by sending web pages to a web browser on auser's user device in response to requests received from the webbrowser.

Embodiments of the subject matter described in this specification can beimplemented in a computing system that includes a back-end component,e.g., as a data server, or that includes a middleware component, e.g.,an application server, or that includes a front-end component, e.g., auser computer having a graphical user interface or a Web browser throughwhich a user can interact with an implementation of the subject matterdescribed in this specification, or any combination of one or more suchback-end, middleware, or front-end components. The components of thesystem can be interconnected by any form or medium of digital datacommunication, e.g., a communication network. Examples of communicationnetworks include a local area network (“LAN”) and a wide area network(“WAN”), an inter-network (e.g., the Internet), and peer-to-peernetworks (e.g., ad hoc peer-to-peer networks).

The computing system can include users and servers. A user and serverare generally remote from each other and typically interact through acommunication network. The relationship of user and server arises byvirtue of computer programs running on the respective computers andhaving a user-server relationship to each other. In some embodiments, aserver transmits data (e.g., an HTML page) to a user device (e.g., forpurposes of displaying data to and receiving user input from a userinteracting with the user device). Data generated at the user device(e.g., a result of the user interaction) can be received from the userdevice at the server.

While this specification contains many specific implementation details,these should not be construed as limitations on the scope of what may beclaimed, but rather as descriptions of features specific to particularembodiments. Certain features that are described in this specificationin the context of separate embodiments can also be implemented incombination in a single embodiment. Conversely, various features thatare described in the context of a single embodiment can also beimplemented in multiple embodiments separately or in any suitablesubcombination. Moreover, although features may be described above asacting in certain combinations and even initially claimed as such, oneor more features from a claimed combination can in some cases be excisedfrom the combination, and the claimed combination may be directed to asubcombination or variation of a subcombination.

Similarly, while operations are depicted in the drawings in a particularorder, this should not be understood as requiring that such operationsbe performed in the particular order shown or in sequential order, orthat all illustrated operations be performed, to achieve desirableresults. In certain circumstances, multitasking and parallel processingmay be advantageous. Moreover, the separation of various systemcomponents in the embodiments described above should not be understoodas requiring such separation in all embodiments, and it should beunderstood that the described program components and systems cangenerally be integrated together in a single software product orpackaged into multiple software products.

Thus, particular embodiments of the subject matter have been described.Other embodiments are within the scope of the following claims. In somecases, the actions recited in the claims can be performed in a differentorder and still achieve desirable results. In addition, the processesdepicted in the accompanying figures do not necessarily require theparticular order shown, or sequential order, to achieve desirableresults. In certain implementations, multitasking and parallelprocessing may be advantageous.

What is claimed is:
 1. A computer-implemented method, the methodcomprising: receiving, from a device and at a data processing systemremote from the device, buffered media data, the buffered media databeing a most recent portion of media data received at the device, themost recent portion inclusive of the media data received from a presenttime to a prior time that is fixed relative to the present time:performing, by the data processing system, content detection on thebuffered media data to identify entities from the buffered media data;ranking the entities identified from the buffered media data; selectingan entity that is ranking highest relative to the other entities; andproviding, to the device or another device, contextual informationregarding the entity that the data processing system identified fromprocessing the buffered media data.
 2. The computer-implemented methodof claim 1, wherein ranking the entities comprises prioritizing theentities detected from the content of the buffered media data at a firsttime higher than the entities detected from the content of the bufferedmedia data at a second time when the first time is close in time to thecurrent time than the second time.
 3. The computer-implemented method ofclaim 2, further comprising: processing the media to determine locationsof entities within a frame of the media; and prioritizing entitieswithin the frame of the media based on the determined locations of theentities.
 4. The computer-implemented method of claim 3, whereinreceiving the buffered media data further comprises: receiving, with thebuffered media data, a search query; and analyzing the buffered mediadata to determine contextual information of the content presented in themost recent portion of media data; and augmenting the search query toinclude the contextual information of the content.
 5. Thecomputer-implemented method of claim 4, wherein the buffered media data,comprises media frames sampled from the received media data according toan interval number of frames that is greater than one.
 6. Thecomputer-implemented method of claim 4, wherein the buffered media datacomprises media frames that each are determined to have a thresholdchange of content from a respectively previous media frame.
 7. A systemcomprising: one or more computers and one or more storage devicesstoring instructions that are operable, when executed by the one or morecomputers, to cause the one or more computers to perform operationscomprising: causing buffered media data to be received from a device andat a data processing system remote from the device, the buffered mediadata being a most recent portion of media data received at the device,the most recent portion inclusive of the media data received from apresent time to a prior time that is fixed relative to the present time:causing processing of, by the data processing system, the buffered mediadata to identify entities from the buffered media data; ranking theentities identified from the buffered media data; selecting an entitythat is ranking highest relative to the other entities; and causingcontextual information regarding the entity that the data processingsystem identified from processing the buffered media data to be providedto a user interface of the device or another device.
 8. The system ofclaim 7, wherein the operations are locally performed at the device. 9.The system of claim 7, wherein the operations are remotely performed ata server.
 10. The system of claim 7, wherein ranking the entitiescomprises prioritizing the entities detected from the content of thebuffered media data at a first time higher than the entities detectedfrom the content of the buffered media data at a second time when thefirst time is close in time to the current time than the second time.11. The system of claim 10, the operations further comprising: causingprocessing of, by the data processing system, the buffered media data todetermine locations of entities within a frame of the buffered mediadata; and prioritizing entities within the frame of the buffered mediadata based on the determined locations of the entities.
 12. The systemof claim 11, wherein causing the buffered media data to be received fromthe device and at the data processing system remote from the devicefurther comprises: causing a search query to be received from the deviceand at the data processing system remote from the device; and causingthe data processing system to analyze the buffered media data todetermine contextual information of the content presented in the mostrecent portion of media data, and augment the search query to includethe contextual information of the content.
 13. The system of claim 12,wherein the buffered media data comprises media frames sampled from thereceived media data according to an interval number of frames that isgreater than one.
 14. The system of claim 12, wherein the buffered mediadata comprises media frames that each are determined to have a thresholdchange of content from a respectively previous media frame.
 15. Anon-transitory computer-readable medium storing software comprisinginstructions executable by one or more computers which, upon suchexecution, cause the one or more computers to perform operationscomprising: receiving, from a device and at a data processing systemremote from the device, buffered media data, the buffered media databeing a most recent portion of media data received at the device, themost recent portion inclusive of the media data received from a presenttime to a prior time that is fixed relative to the present time:performing, by the data processing system, content detection on thebuffered media data to identify entities from the buffered media data;ranking the entities identified from the buffered media data; selectingan entity that is ranking highest relative to the other entities; andproviding, to the device or another device, contextual informationregarding the entity that the data processing system identified fromprocessing the buffered media data.
 16. The non-transitorycomputer-readable medium of claim 15, wherein ranking the entitiescomprises prioritizing the entities detected from the content of thebuffered media data at a first time higher than the entities detectedfrom the content of the buffered media data at a second time when thefirst time is close in time to the current time than the second time.17. The non-transitory computer-readable medium of claim 16, theoperations further comprising: processing the media to determinelocations of entities within a frame of the media; and prioritizingentities within the frame of the media based on the determined locationsof the entities.
 18. The non-transitory computer-readable medium ofclaim 17, wherein receiving the buffered media data further comprises:receiving, with the buffered media data, a search query; and analyzingthe buffered media data to determine contextual information of thecontent presented in the most recent portion of media data; andaugmenting the search query to include the contextual information of thecontent.
 19. The non-transitory computer-readable medium of claim 18,wherein the buffered media data, comprises media frames sampled from thereceived media data according to an interval number of frames that isgreater than one.
 20. The non-transitory computer-readable medium ofclaim 18, wherein the buffered media data comprises media frames thateach are determined to have a threshold change of content from arespectively previous media frame.